In this paper, we present Anne O’Tate, a web-based tool that processes articles retrieved from PubMed and displays multiple aspects of the articles to the user, according to pre-defined categories such as the most important words found in titles or abstracts; topics; journals; authors; publication years; and affiliations. Clicking on a given item opens a new window that displays all papers that contain that item. One can navigate by drilling down through the categories progressively, e.g., one can first restrict the articles according to author name and then restrict that subset by affiliation. Alternatively, one can expand small sets of articles to display the most closely related articles. We also implemented a novel cluster-by-topic method that generates a concise set of topics covering most of the retrieved articles.
+ Full Paper (PDF: 588 KB)
Source: Journal of Biomedical Discovery and Collaboration
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on Wednesday, February 20th, 2008 and is filed under Info Management and Retrieval, Scholarly Publishing, Software and Web-Based Applications, Source File, Technology and Internet.
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